Emergent adaptive behaviour of GRN-controlled simulated robots in a changing environment

We developed a bio-inspired robot controller combining an artificial genome with an agent-based control system. The genome encodes a gene regulatory network (GRN) that is switched on by environmental cues and, following the rules of transcriptional regulation, provides output signals to actuators. W...

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Detalles Bibliográficos
Autores principales: Yao, Yao, Storme, Veronique, Marchal, Kathleen, Van de Peer, Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180581/
https://www.ncbi.nlm.nih.gov/pubmed/28028477
http://dx.doi.org/10.7717/peerj.2812

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5180581/
https://www.ncbi.nlm.nih.gov/pubmed/28028477
http://dx.doi.org/10.7717/peerj.2812

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